Álgebra lineal Ejemplos

⎡ ⎢ ⎣ \begin{matrix} 1 & 0 & 0 1 & 1 & 0 1 & 1 & 1 \end{matrix} ⎤ ⎥ ⎦ y = ⎡ ⎢ ⎣ \begin{matrix} 1 & 2 3 & 3 2 & 1 \end{matrix} ⎤ ⎥ ⎦

$[\begin{array}{c} 1 & 0 & 0 \\ 1 & 1 & 0 \\ 1 & 1 & 1 \end{array}] y = [\begin{array}{c} 1 & 2 \\ 3 & 3 \\ 2 & 1 \end{array}]$

Paso 1

Find the inverse of

⎡ ⎢ ⎣ \begin{matrix} 1 & 0 & 0 1 & 1 & 0 1 & 1 & 1 \end{matrix} ⎤ ⎥ ⎦

$[\begin{array}{c} 1 & 0 & 0 \\ 1 & 1 & 0 \\ 1 & 1 & 1 \end{array}]$ .

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Paso 1.1

Reescribe.

∣ ∣ ∣ ∣ \begin{matrix} 1 & 0 & 0 1 & 1 & 0 1 & 1 & 1 \end{matrix} ∣ ∣ ∣ ∣

$| \begin{array}{c} 1 & 0 & 0 \\ 1 & 1 & 0 \\ 1 & 1 & 1 \end{array} |$

Paso 1.2

Find the determinant.

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Paso 1.2.1

Choose the row or column with the most

0

$0$ elements. If there are no

0

$0$ elements choose any row or column. Multiply every element in row

1

$1$ by its cofactor and add.

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Paso 1.2.1.1

Consider the corresponding sign chart.

∣ ∣ ∣ ∣ \begin{matrix} + & - & + - & + & - + & - & + \end{matrix} ∣ ∣ ∣ ∣

$| \begin{array}{c} + & - & + \\ - & + & - \\ + & - & + \end{array} |$

Paso 1.2.1.2

The cofactor is the minor with the sign changed if the indices match a

-

$-$ position on the sign chart.

Paso 1.2.1.3

The minor for

a_{11}

$a_{11}$ is the determinant with row

1

$1$ and column

1

$1$ deleted.

∣ ∣ ∣ \begin{matrix} 1 & 0 1 & 1 \end{matrix} ∣ ∣ ∣

$| \begin{array}{c} 1 & 0 \\ 1 & 1 \end{array} |$

Paso 1.2.1.4

Multiply element

a_{11}

$a_{11}$ by its cofactor.

1 ∣ ∣ ∣ \begin{matrix} 1 & 0 1 & 1 \end{matrix} ∣ ∣ ∣

$1 | \begin{array}{c} 1 & 0 \\ 1 & 1 \end{array} |$

Paso 1.2.1.5

The minor for

a_{12}

$a_{12}$ is the determinant with row

1

$1$ and column

2

$2$ deleted.

∣ ∣ ∣ \begin{matrix} 1 & 0 1 & 1 \end{matrix} ∣ ∣ ∣

$| \begin{array}{c} 1 & 0 \\ 1 & 1 \end{array} |$

Paso 1.2.1.6

Multiply element

a_{12}

$a_{12}$ by its cofactor.

0 ∣ ∣ ∣ \begin{matrix} 1 & 0 1 & 1 \end{matrix} ∣ ∣ ∣

$0 | \begin{array}{c} 1 & 0 \\ 1 & 1 \end{array} |$

Paso 1.2.1.7

The minor for

a_{13}

$a_{13}$ is the determinant with row

1

$1$ and column

3

$3$ deleted.

∣ ∣ ∣ \begin{matrix} 1 & 1 1 & 1 \end{matrix} ∣ ∣ ∣

$| \begin{array}{c} 1 & 1 \\ 1 & 1 \end{array} |$

Paso 1.2.1.8

Multiply element

a_{13}

$a_{13}$ by its cofactor.

0 ∣ ∣ ∣ \begin{matrix} 1 & 1 1 & 1 \end{matrix} ∣ ∣ ∣

$0 | \begin{array}{c} 1 & 1 \\ 1 & 1 \end{array} |$

Paso 1.2.1.9

Add the terms together.

1 ∣ ∣ ∣ \begin{matrix} 1 & 0 1 & 1 \end{matrix} ∣ ∣ ∣ + 0 ∣ ∣ ∣ \begin{matrix} 1 & 0 1 & 1 \end{matrix} ∣ ∣ ∣ + 0 ∣ ∣ ∣ \begin{matrix} 1 & 1 1 & 1 \end{matrix} ∣ ∣ ∣

$1 | \begin{array}{c} 1 & 0 \\ 1 & 1 \end{array} | + 0 | \begin{array}{c} 1 & 0 \\ 1 & 1 \end{array} | + 0 | \begin{array}{c} 1 & 1 \\ 1 & 1 \end{array} |$

1 ∣ ∣ ∣ \begin{matrix} 1 & 0 1 & 1 \end{matrix} ∣ ∣ ∣ + 0 ∣ ∣ ∣ \begin{matrix} 1 & 0 1 & 1 \end{matrix} ∣ ∣ ∣ + 0 ∣ ∣ ∣ \begin{matrix} 1 & 1 1 & 1 \end{matrix} ∣ ∣ ∣

$1 | \begin{array}{c} 1 & 0 \\ 1 & 1 \end{array} | + 0 | \begin{array}{c} 1 & 0 \\ 1 & 1 \end{array} | + 0 | \begin{array}{c} 1 & 1 \\ 1 & 1 \end{array} |$

Paso 1.2.2

Multiplica

0

$0$ por

∣ ∣ ∣ \begin{matrix} 1 & 0 1 & 1 \end{matrix} ∣ ∣ ∣

$| \begin{array}{c} 1 & 0 \\ 1 & 1 \end{array} |$ .

1 ∣ ∣ ∣ \begin{matrix} 1 & 0 1 & 1 \end{matrix} ∣ ∣ ∣ + 0 + 0 ∣ ∣ ∣ \begin{matrix} 1 & 1 1 & 1 \end{matrix} ∣ ∣ ∣

$1 | \begin{array}{c} 1 & 0 \\ 1 & 1 \end{array} | + 0 + 0 | \begin{array}{c} 1 & 1 \\ 1 & 1 \end{array} |$

Paso 1.2.3

Multiplica

0

$0$ por

∣ ∣ ∣ \begin{matrix} 1 & 1 1 & 1 \end{matrix} ∣ ∣ ∣

$| \begin{array}{c} 1 & 1 \\ 1 & 1 \end{array} |$ .

1 ∣ ∣ ∣ \begin{matrix} 1 & 0 1 & 1 \end{matrix} ∣ ∣ ∣ + 0 + 0

$1 | \begin{array}{c} 1 & 0 \\ 1 & 1 \end{array} | + 0 + 0$

Paso 1.2.4

Evalúa

∣ ∣ ∣ \begin{matrix} 1 & 0 1 & 1 \end{matrix} ∣ ∣ ∣

$| \begin{array}{c} 1 & 0 \\ 1 & 1 \end{array} |$ .

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Paso 1.2.4.1

El determinante de una matriz

2 \times 2

$2 \times 2$ puede obtenerse usando la fórmula

∣ ∣ ∣ \begin{matrix} a & b c & d \end{matrix} ∣ ∣ ∣ = a d - c b

$| \begin{array}{c} a & b \\ c & d \end{array} | = a d - c b$ .

1 (1 \cdot 1 - 1 \cdot 0) + 0 + 0

$1 (1 \cdot 1 - 1 \cdot 0) + 0 + 0$

Paso 1.2.4.2

Simplifica el determinante.

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Paso 1.2.4.2.1

Multiplica

1

$1$ por

1

$1$ .

1 (1 - 1 \cdot 0) + 0 + 0

$1 (1 - 1 \cdot 0) + 0 + 0$

Paso 1.2.4.2.2

Resta

0

$0$ de

1

$1$ .

1 \cdot 1 + 0 + 0

$1 \cdot 1 + 0 + 0$

1 \cdot 1 + 0 + 0

$1 \cdot 1 + 0 + 0$

1 \cdot 1 + 0 + 0

$1 \cdot 1 + 0 + 0$

Paso 1.2.5

Simplifica el determinante.

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Paso 1.2.5.1

Multiplica

1

$1$ por

1

$1$ .

1 + 0 + 0

$1 + 0 + 0$

Paso 1.2.5.2

Suma

1

$1$ y

0

$0$ .

1 + 0

$1 + 0$

Paso 1.2.5.3

Suma

1

$1$ y

0

$0$ .

1

$1$

1

$1$

1

$1$

Paso 1.3

Since the determinant is non-zero, the inverse exists.

Paso 1.4

Set up a

3 \times 6

$3 \times 6$ matrix where the left half is the original matrix and the right half is its identity matrix.

⎡ ⎢ ⎣ \begin{matrix} 1 & 0 & 0 & 1 & 0 & 0 1 & 1 & 0 & 0 & 1 & 0 1 & 1 & 1 & 0 & 0 & 1 \end{matrix} ⎤ ⎥ ⎦

$[\begin{array}{c} 1 & 0 & 0 & 1 & 0 & 0 \\ 1 & 1 & 0 & 0 & 1 & 0 \\ 1 & 1 & 1 & 0 & 0 & 1 \end{array}]$

Paso 1.5

Obtén la forma escalonada reducida por filas.

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Paso 1.5.1

Perform the row operation

R_{2} = R_{2} - R_{1}

$R_{2} = R_{2} - R_{1}$ to make the entry at

2, 1

$2, 1$ a

0

$0$ .

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Paso 1.5.1.1

Perform the row operation

R_{2} = R_{2} - R_{1}

$R_{2} = R_{2} - R_{1}$ to make the entry at

2, 1

$2, 1$ a

0

$0$ .

⎡ ⎢ ⎣ \begin{matrix} 1 & 0 & 0 & 1 & 0 & 0 1 - 1 & 1 - 0 & 0 - 0 & 0 - 1 & 1 - 0 & 0 - 0 1 & 1 & 1 & 0 & 0 & 1 \end{matrix} ⎤ ⎥ ⎦

$[\begin{array}{c} 1 & 0 & 0 & 1 & 0 & 0 \\ 1 - 1 & 1 - 0 & 0 - 0 & 0 - 1 & 1 - 0 & 0 - 0 \\ 1 & 1 & 1 & 0 & 0 & 1 \end{array}]$

Paso 1.5.1.2

Simplifica

$R_{2}$ .

$[\begin{array}{c} 1 & 0 & 0 & 1 & 0 & 0 \\ 0 & 1 & 0 & - 1 & 1 & 0 \\ 1 & 1 & 1 & 0 & 0 & 1 \end{array}]$

Paso 1.5.2

Perform the row operation

$R_{3} = R_{3} - R_{1}$ to make the entry at

$3, 1$ a

$0$ .

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Paso 1.5.2.1

Perform the row operation

$R_{3} = R_{3} - R_{1}$ to make the entry at

$3, 1$ a

$0$ .

$[\begin{array}{c} 1 & 0 & 0 & 1 & 0 & 0 \\ 0 & 1 & 0 & - 1 & 1 & 0 \\ 1 - 1 & 1 - 0 & 1 - 0 & 0 - 1 & 0 - 0 & 1 - 0 \end{array}]$

Paso 1.5.2.2

Simplifica

$R_{3}$ .

$[\begin{array}{c} 1 & 0 & 0 & 1 & 0 & 0 \\ 0 & 1 & 0 & - 1 & 1 & 0 \\ 0 & 1 & 1 & - 1 & 0 & 1 \end{array}]$

Paso 1.5.3

Perform the row operation

$R_{3} = R_{3} - R_{2}$ to make the entry at

$3, 2$ a

$0$ .

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Paso 1.5.3.1

Perform the row operation

$R_{3} = R_{3} - R_{2}$ to make the entry at

$3, 2$ a

$0$ .

$[\begin{array}{c} 1 & 0 & 0 & 1 & 0 & 0 \\ 0 & 1 & 0 & - 1 & 1 & 0 \\ 0 - 0 & 1 - 1 & 1 - 0 & - 1 + 1 & 0 - 1 & 1 - 0 \end{array}]$

Paso 1.5.3.2

Simplifica

$R_{3}$ .

$[\begin{array}{c} 1 & 0 & 0 & 1 & 0 & 0 \\ 0 & 1 & 0 & - 1 & 1 & 0 \\ 0 & 0 & 1 & 0 & - 1 & 1 \end{array}]$

Paso 1.6

The right half of the reduced row echelon form is the inverse.

$[\begin{array}{c} 1 & 0 & 0 \\ - 1 & 1 & 0 \\ 0 & - 1 & 1 \end{array}]$

Paso 2

Multiply both sides by the inverse of

$[\begin{array}{c} 1 & 0 & 0 \\ 1 & 1 & 0 \\ 1 & 1 & 1 \end{array}]$ .

$[\begin{array}{c} 1 & 0 & 0 \\ - 1 & 1 & 0 \\ 0 & - 1 & 1 \end{array}] [\begin{array}{c} 1 & 0 & 0 \\ 1 & 1 & 0 \\ 1 & 1 & 1 \end{array}] y = [\begin{array}{c} 1 & 0 & 0 \\ - 1 & 1 & 0 \\ 0 & - 1 & 1 \end{array}] [\begin{array}{c} 1 & 2 \\ 3 & 3 \\ 2 & 1 \end{array}]$

Paso 3

Simplifica la ecuación.

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Paso 3.1

Multiplica

$[\begin{array}{c} 1 & 0 & 0 \\ - 1 & 1 & 0 \\ 0 & - 1 & 1 \end{array}] [\begin{array}{c} 1 & 0 & 0 \\ 1 & 1 & 0 \\ 1 & 1 & 1 \end{array}]$ .

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Paso 3.1.1

Two matrices can be multiplied if and only if the number of columns in the first matrix is equal to the number of rows in the second matrix. In this case, the first matrix is

$3 \times 3$ and the second matrix is

$3 \times 3$ .

Paso 3.1.2

Multiplica cada fila en la primera matriz por cada columna en la segunda matriz.

$[\begin{array}{c} 1 \cdot 1 + 0 \cdot 1 + 0 \cdot 1 & 1 \cdot 0 + 0 \cdot 1 + 0 \cdot 1 & 1 \cdot 0 + 0 \cdot 0 + 0 \cdot 1 \\ - 1 \cdot 1 + 1 \cdot 1 + 0 \cdot 1 & - 0 + 1 \cdot 1 + 0 \cdot 1 & - 0 + 1 \cdot 0 + 0 \cdot 1 \\ 0 \cdot 1 - 1 \cdot 1 + 1 \cdot 1 & 0 \cdot 0 - 1 \cdot 1 + 1 \cdot 1 & 0 \cdot 0 - 0 + 1 \cdot 1 \end{array}] y = [\begin{array}{c} 1 & 0 & 0 \\ - 1 & 1 & 0 \\ 0 & - 1 & 1 \end{array}] [\begin{array}{c} 1 & 2 \\ 3 & 3 \\ 2 & 1 \end{array}]$

Paso 3.1.3

Simplifica cada elemento de la matriz mediante la multiplicación de todas las expresiones.

$[\begin{array}{c} 1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 1 \end{array}] y = [\begin{array}{c} 1 & 0 & 0 \\ - 1 & 1 & 0 \\ 0 & - 1 & 1 \end{array}] [\begin{array}{c} 1 & 2 \\ 3 & 3 \\ 2 & 1 \end{array}]$

Paso 3.2

Multiplying the identity matrix by any matrix

$A$ is the matrix

$A$ itself.

$y = [\begin{array}{c} 1 & 0 & 0 \\ - 1 & 1 & 0 \\ 0 & - 1 & 1 \end{array}] [\begin{array}{c} 1 & 2 \\ 3 & 3 \\ 2 & 1 \end{array}]$

Paso 3.3

Multiplica

$[\begin{array}{c} 1 & 0 & 0 \\ - 1 & 1 & 0 \\ 0 & - 1 & 1 \end{array}] [\begin{array}{c} 1 & 2 \\ 3 & 3 \\ 2 & 1 \end{array}]$ .

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Paso 3.3.1

Two matrices can be multiplied if and only if the number of columns in the first matrix is equal to the number of rows in the second matrix. In this case, the first matrix is

$3 \times 3$ and the second matrix is

$3 \times 2$ .

Paso 3.3.2

Multiplica cada fila en la primera matriz por cada columna en la segunda matriz.

$y = [\begin{array}{c} 1 \cdot 1 + 0 \cdot 3 + 0 \cdot 2 & 1 \cdot 2 + 0 \cdot 3 + 0 \cdot 1 \\ - 1 \cdot 1 + 1 \cdot 3 + 0 \cdot 2 & - 1 \cdot 2 + 1 \cdot 3 + 0 \cdot 1 \\ 0 \cdot 1 - 1 \cdot 3 + 1 \cdot 2 & 0 \cdot 2 - 1 \cdot 3 + 1 \cdot 1 \end{array}]$

Paso 3.3.3

Simplifica cada elemento de la matriz mediante la multiplicación de todas las expresiones.

$y = [\begin{array}{c} 1 & 2 \\ 2 & 1 \\ - 1 & - 2 \end{array}]$